Open AccessDerivative parameters of electroencephalograms and their measurement methods
Author(s) -
Andrius Vytautas Misiukas Misiūnas,
Tadas Meškauskas,
Rüta Samaitienė
Publication year - 2016
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.a.2016.09
Subject(s) - derivative (finance) , electroencephalography , spike (software development) , range (aeronautics) , second derivative , computer science , pattern recognition (psychology) , artificial intelligence , mathematics , engineering , psychology , neuroscience , mathematical analysis , software engineering , financial economics , economics , aerospace engineering
The derivative parameters of electroencephalogram (EEG): baseline, upslope, downslope and width of EEG spikes are analysed in this work. Automatic methods of their measurement are presented. Validation of discussed parameters against their possible range (provided by neurologists) lets us to exclude some falsely positively detected spikes thus improving accuracy of the spike detection algorithm. These parameters might have some correlation between them and diagnosis of the atients.